Gaser, Christian;
Kalc, Polona;
Cole, James H;
(2024)
A perspective on brain-age estimation and its clinical promise.
Nature Computational Science
, 4
pp. 744-751.
10.1038/s43588-024-00659-8.
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Abstract
Brain-age estimation has gained increased attention in the neuroscientific community owing to its potential use as a biomarker of brain health. The difference between estimated and chronological age based on neuroimaging data enables a unique perspective on brain development and aging, with multiple open questions still remaining in the brain-age research field. This Perspective presents an overview of current advancements in the field and envisions the future evolution of the brain-age framework before its potential deployment in hospital settings.
| Type: | Article |
|---|---|
| Title: | A perspective on brain-age estimation and its clinical promise |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s43588-024-00659-8 |
| Publisher version: | https://doi.org/10.1038/s43588-024-00659-8 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Diagnostic markers, Learning algorithms |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197493 |
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